(ICTSAPF - 26) | Hybrid Event
27th - 28th October 2026 | Seoul, South Korea

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International Conference on Time Series Analysis and Probabilistic Forecasting
(ICTSAPF - 26)

27th - 28th October 2026 Seoul, South Korea (Hybrid Event)

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Call for Paper

The ICTSAPF is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Probability Theory,Statistics, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Time series modeling techniques
  • Probabilistic forecasting methods
  • Statistical analysis of time series
  • Seasonal decomposition in forecasting
  • Machine learning for time series
  • Bayesian approaches to forecasting
  • Temporal data mining techniques
  • Longitudinal data analysis methods
  • Autoregressive integrated moving average
  • Forecasting with neural networks
  • Causal inference in time series
  • Real-time forecasting applications
  • Time series anomaly detection
  • Multivariate time series analysis
  • Time series in economics
  • Dynamic systems and forecasting
  • Forecasting in climate science
  • Time series and big data
  • Statistical software for time series
  • Emerging trends in time series analysis
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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